S&P Global is Hiring Data Analyst 2025 | Across India

S&P Global is Hiring Data Analyst 2025:-

S&P Global is hiring candidates for the role of “Data Analyst” in the Bangalore, Gurgaon, Hyderabad, Mumbai location of India. The complete details about Data Analyst Job Openings In S&P Global are given below.

Company :-	S&P Global
Job Role :-	Data Analyst
Categories :-	Data Management
Location :-	Bangalore, Gurgaon, Hyderabad, Mumbai
Salary :-	As Per Company Standards
Last Date to Apply :–	ASAP

Qualifications:-

Master’s degree in finance, economics, data science, or related fields.

Skills Required:-

Strong analytical mindset with attention to detail and quantitative skills.
Basic knowledge of SQL and Excel; familiarity with BI tools is a plus.
Understanding of compliance in data collection and reporting.
Exposure to Lean principles or automation tools is desirable.
Willingness to learn and adapt to modern technologies, including GenAI.
Excellent communication, time-management, and multi-tasking skills.
Proficient in secondary research and online thematic research.
Certification and experience in MS Office (Excel, Word, PowerPoint).
Initiative and resourcefulness in problem-solving.
Adaptable to flexible shifts and team environments.
Basic project management skills for ad-hoc projects.
Interest in market trends and ability to analyze market dynamics.
Strong collaboration and interpersonal skills to build team relationships.
Proactive in enhancing technical skills relevant to data analysis.

Job Responsibilities:-

Gather and verify extensive data on market participants, utilizing publicly available sources including but not limited to websites, news articles, and various public registries & filings to provide accurate insights and ensure thorough data coverage.
Conduct data cleansing to ensure accuracy and consistency in datasets by regularly reviewing and refining them.
Perform routine reporting and basic trend analysis to generate reports that highlight trends for actionable insights.
Automate data collection and reporting tasks using SQL and Lean methodologies to streamline processes and enhance efficiency.
Utilize GenAI tools for exploratory data analysis to extract deeper insights from datasets for informed decision-making.
Maintain thorough documentation of data collection processes to ensure compliance and facilitate future reference.
Deliver individual and team targets by achieving predefined goals with a focus on quality and accuracy.
Provide input for new data collection methods and product enhancements to improve strategies based on market needs.
Troubleshoot data-related issues and support team members by addressing discrepancies and fostering collaboration.
Support workflow and process improvements by participating in initiatives aimed at refining team performance.